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<img class="art" data-art="banner" src="assets/banner-auto.svg" width="1000" height="250"
alt="Rishabh Patil. AI engineer and researcher, co-founder and CEO of Valuren.">
<ul class="chips">
<li><a href="https://huggingface.co/rishhh" target="_blank" rel="noopener noreferrer">Hugging Face</a></li>
<li><a href="https://github.com/MrRobotop" target="_blank" rel="noopener noreferrer">GitHub</a></li>
<li><a href="https://www.linkedin.com/in/rishabh-ashok-patil/" target="_blank" rel="noopener noreferrer">LinkedIn</a></li>
<li><a href="https://orcid.org/0009-0007-0868-9673" target="_blank" rel="noopener noreferrer">ORCID</a></li>
<li><a href="https://www.rishabhpatil.com" target="_blank" rel="noopener noreferrer">Website</a></li>
<li><a href="mailto:rishabh.a.patil@outlook.com">Email</a></li>
</ul>
<p class="lead">AI engineer and researcher in London. Co-founder and CEO of <a href="https://www.linkedin.com/company/valuren/" target="_blank" rel="noopener noreferrer">Valuren</a>, which gives fashion and luxury brands digital product passports. I work on verification for AI: checking claims against evidence, evaluating LLM systems, and planning safely in learned latent spaces.</p>
</header>
<section aria-labelledby="hub-h">
<h2 id="hub-h">On the Hub</h2>
<div class="card">
<div class="cardhead">
<h3>Downloads</h3>
<span class="status" id="status"><span class="dot"></span><span id="status-text">Loading live numbers</span></span>
</div>
<div class="kpis">
<div class="hero">
<div class="value" id="k-total">2,788</div>
<div class="label">downloads, all time</div>
<div class="delta" id="k-delta"><svg width="12" height="10" viewBox="0 0 12 10" aria-hidden="true"><path d="M6 0l6 10H0z" fill="var(--good)"/></svg><strong id="k-d30">+308</strong> in the last 30 days</div>
</div>
<div class="tile"><div class="value" id="k-models">28</div><div class="label">models</div></div>
<div class="tile"><div class="value" id="k-datasets">1</div><div class="label" id="k-datasets-l">dataset</div></div>
<div class="tile"><div class="value" id="k-spaces">1</div><div class="label" id="k-spaces-l">Space</div></div>
</div>
<hr class="rule">
<div class="cardhead"><h3>Most downloaded repos</h3><span class="status">Hover or tab through the bars for 30-day numbers</span></div>
<ul class="legend" id="legend"></ul>
<div class="chart" id="chart" role="list" aria-label="Most downloaded repos, all time"></div>
<details>
<summary>Table view of every repo</summary>
<div class="table-wrap"><table>
<thead><tr><th>Repo</th><th>Type</th><th class="num">All time</th><th class="num">Last 30 days</th></tr></thead>
<tbody id="table"></tbody>
</table></div>
</details>
</div>
</section>
<section aria-labelledby="v-h">
<h2 id="v-h">VeriSci: scientific claim verification</h2>
<p>Paste a scientific claim and get SUPPORTS, REFUTES or NOT ENOUGH INFO, with the sentences that justify the label.</p>
<img class="art" data-art="verisci" src="assets/verisci-auto.svg" width="840" height="372"
alt="VeriSci pipeline: claim, retrieve with BM25 and a fine-tuned e5 retriever, select evidence sentences, verify with a calibrated DeBERTa model, return a label with evidence. Retriever Recall@5 0.867. Verifier accuracy 0.905, macro-F1 0.874, calibration error 0.024. End to end on SciFact validation: 0.691 accuracy, 0.653 macro-F1.">
<ul class="links">
<li><a href="https://huggingface.co/spaces/rishhh/verisci-claim-space" target="_blank" rel="noopener noreferrer">Live demo</a> (may take a minute to wake if idle)</li>
<li><a href="https://huggingface.co/rishhh/verisci-claim-verifier-retrieval-adapted-seed123" target="_blank" rel="noopener noreferrer">Release verifier</a> and <a href="https://huggingface.co/rishhh/verisci-scifact-e5-retriever" target="_blank" rel="noopener noreferrer">retriever</a></li>
<li>Seeded ablations of evidence selection, each with its own model card</li>
</ul>
</section>
<section aria-labelledby="s-h">
<h2 id="s-h">SchemaSage-SQL: safe text-to-SQL</h2>
<p>QLoRA adapters on Qwen3-4B that write read-only SQL grounded in the schema you give them, with a safety layer that refuses destructive requests.</p>
<img class="art" data-art="schemasage" src="assets/schemasage-auto.svg" width="840" height="246"
alt="SchemaSage-SQL release baseline on 64 cleaned held-out examples: 100% SQL parse validity, 98.3% schema adherence, 0% unsafe queries, 100% correct refusals. QLoRA on Qwen3-4B-Instruct-2507, trained on 111,444 cleaned examples, 10,862 of them refusals.">
<ul class="links">
<li><a href="https://huggingface.co/rishhh/schemasage-sql-qwen3-4b-clean-balanced-200" target="_blank" rel="noopener noreferrer">Release baseline</a>; the <a href="https://huggingface.co/rishhh/schemasage-sql-qwen3-4b-clean-balanced-8k-600-v2" target="_blank" rel="noopener noreferrer">larger candidate</a> scored higher on exact match and execution accuracy but missed one blocked refusal, so it was not shipped</li>
<li><a href="https://huggingface.co/datasets/rishhh/schemasage-sql-clean-text2sql" target="_blank" rel="noopener noreferrer">Dataset</a> and <a href="https://github.com/MrRobotop/schemasage-sql" target="_blank" rel="noopener noreferrer">code</a></li>
</ul>
</section>
<section aria-labelledby="r-h">
<h2 id="r-h">Research code</h2>
<p>Each library pairs installable code with a first-author preprint.</p>
<div class="grid">
<article class="project">
<img class="fig" src="assets/toploss-sasp.png" width="1600" height="589" loading="lazy"
alt="SASP results: test cross-entropy over 120 epochs against the baseline, and Hessian trace at convergence, about 171 for the baseline against about 100 with SASP.">
<h3><a href="https://github.com/MrRobotop/toploss" target="_blank" rel="noopener noreferrer">toploss</a></h3>
<p>Five optimiser-free PyTorch regularisers that rebuild SAM, cautious weight decay and AdEMAMix as loss penalties. SASP cut the Hessian trace 41% at +15% wall-clock, against +107% for SAM (three seeds, CPU).</p>
<div class="badges">
<img alt="PyPI version" src="https://img.shields.io/pypi/v/toploss?style=flat-square&label=PyPI&color=2a78d6">
<img alt="CI, live status" src="https://img.shields.io/github/actions/workflow/status/MrRobotop/toploss/ci.yaml?style=flat-square&label=CI">
<a href="https://doi.org/10.5281/zenodo.20497841" target="_blank" rel="noopener noreferrer">Preprint</a>
</div>
</article>
<article class="project">
<img class="fig" src="assets/clap-planning.png" width="1280" height="877" loading="lazy"
alt="CLAP planning in a two-dimensional latent field: the trajectory reaches the safe target region and dwells there, avoiding a reward trap and an unsafe zone.">
<h3><a href="https://github.com/MrRobotop/clap-family" target="_blank" rel="noopener noreferrer">clap-family</a></h3>
<p>Conservative Lapse-Action Planning: reach the best safe region of a latent space, then stay there. Seven planner variants, 72 tests.</p>
<div class="badges">
<img alt="PyPI version" src="https://img.shields.io/pypi/v/clap-family?style=flat-square&label=PyPI&color=2a78d6">
<img alt="Checks, live status" src="https://img.shields.io/github/check-runs/MrRobotop/clap-family/HEAD?style=flat-square&label=checks">
<a href="https://doi.org/10.5281/zenodo.20467271" target="_blank" rel="noopener noreferrer">Preprint</a>
</div>
</article>
</div>
<ul class="compact">
<li><a href="https://github.com/MrRobotop/micro-world-model" target="_blank" rel="noopener noreferrer"><strong>micro-world-model</strong></a> · <a href="https://doi.org/10.5281/zenodo.20480620" target="_blank" rel="noopener noreferrer">preprint</a><br><span class="meta">Hierarchical JEPA world model that plans in a 256-dimensional latent space with no reconstruction, no reward and no EMA target.</span></li>
<li><a href="https://github.com/MrRobotop/ariadne-eval" target="_blank" rel="noopener noreferrer"><strong>ariadne-eval</strong></a><br><span class="meta">Trajectory-level tracing and scoring for multi-step, tool-using agents. 285 tests, mypy-strict.</span></li>
<li><a href="https://github.com/MrRobotop/evalforge" target="_blank" rel="noopener noreferrer"><strong>evalforge</strong></a><br><span class="meta">LLM evaluation with bootstrapped confidence intervals, calibrated LLM-as-judge and a CI regression gate. 538 tests.</span></li>
</ul>
</section>
<section aria-labelledby="b-h">
<h2 id="b-h">Background</h2>
<p>MSc Artificial Intelligence, University of St Andrews (dissertation on dependent types for machine learning, supervised by Dr Edwin Brady). BSc Artificial Intelligence, VU Amsterdam. Before Valuren I co-founded RelAIable, an AI consultancy in Amsterdam, as Chief AI Officer.</p>
</section>
<footer>
<p id="foot">Download numbers come live from the Hugging Face Hub API. If it can't be reached, the page shows a snapshot from 8 Oct 2026.</p>
</footer>
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try {
const [models, datasets, spaces] = await Promise.all([
getJSON(`https://huggingface.co/api/models?author=${USER}${q}`),
getJSON(`https://huggingface.co/api/datasets?author=${USER}${q}`),
getJSON(`https://huggingface.co/api/spaces?author=${USER}&limit=1000`),
]);
const repos = [
...models.map((m) => ({ id: m.id, type: "model", all: m.downloadsAllTime || 0, d30: m.downloads || 0 })),
...datasets.map((d) => ({ id: d.id, type: "dataset", all: d.downloadsAllTime || 0, d30: d.downloads || 0 })),
];
render({ repos, spaces: spaces.length, live: true });
} catch (err) {
render({ repos: SNAPSHOT.repos, spaces: SNAPSHOT.spaces, live: false });
}
}
function render({ repos, spaces, live }) {
const models = repos.filter((r) => r.type === "model").length;
const datasets = repos.filter((r) => r.type === "dataset").length;
const total = repos.reduce((s, r) => s + r.all, 0);
const d30 = repos.reduce((s, r) => s + r.d30, 0);
document.getElementById("k-total").textContent = fmt(total);
document.getElementById("k-d30").textContent = "+" + fmt(d30);
document.getElementById("k-models").textContent = fmt(models);
document.getElementById("k-datasets").textContent = fmt(datasets);
document.getElementById("k-datasets-l").textContent = plural(datasets, "dataset");
document.getElementById("k-spaces").textContent = fmt(spaces);
document.getElementById("k-spaces-l").textContent = plural(spaces, "Space");
const status = document.getElementById("status");
status.classList.toggle("live", live);
document.getElementById("status-text").textContent = live
? "Live from the Hugging Face Hub"
: `Snapshot from ${SNAPSHOT.dateLabel}`;
const sorted = [...repos].sort((a, b) => b.all - a.all || a.id.localeCompare(b.id));
const top = sorted.filter((r) => r.all > 0).slice(0, 10);
const max = Math.max(1, ...top.map((r) => r.all));
const used = [...new Set(top.map((r) => projectOf(r.id)))];
const order = ["VeriSci", "SchemaSage", "Other"].filter((p) => used.includes(p));
const legend = document.getElementById("legend");
legend.replaceChildren(...order.map((p) => {
const li = el("li");
li.append(el("i", `c-${p}`), document.createTextNode(p));
return li;
}));
const chart = document.getElementById("chart");
chart.replaceChildren(...top.map((r) => {
const project = projectOf(r.id);
const name = r.id.split("/").pop();
const row = el("div", "row");
row.setAttribute("role", "listitem");
row.tabIndex = 0;
row.setAttribute("aria-label", `${name}, ${r.type}, ${fmt(r.all)} downloads all time, ${fmt(r.d30)} in the last 30 days`);
const label = el("div", "name");
label.append(document.createTextNode(name));
if (r.type === "dataset") label.append(el("span", "kind", " (dataset)"));
const line = el("div", "barline");
const bar = el("div", `bar c-${project}`);
bar.style.width = `calc((100% - 64px) * ${(r.all / max).toFixed(4)})`;
line.append(bar, el("span", "val", fmt(r.all)));
row.append(label, line);
const show = (x, y) => showTip(r, project, x, y);
row.addEventListener("pointermove", (e) => show(e.clientX, e.clientY));
row.addEventListener("pointerleave", hideTip);
row.addEventListener("focus", () => { const b = row.getBoundingClientRect(); show(b.left + 24, b.bottom); });
row.addEventListener("blur", hideTip);
return row;
}));
const tbody = document.getElementById("table");
tbody.replaceChildren(...sorted.map((r) => {
const tr = el("tr");
const a = el("a", "", r.id.split("/").pop());
a.href = `https://huggingface.co/${r.type === "dataset" ? "datasets/" : ""}${r.id}`;
a.target = "_blank"; a.rel = "noopener noreferrer";
const name = el("td"); name.append(a);
tr.append(name, el("td", "", r.type), el("td", "num", fmt(r.all)), el("td", "num", fmt(r.d30)));
return tr;
}));
}
const tip = document.getElementById("tip");
function showTip(r, project, x, y) {
const v = el("div", "tv", `${fmt(r.all)} downloads`);
const l1 = el("div", "tl", `${fmt(r.d30)} in the last 30 days`);
const l2 = el("div", "tl");
const key = el("span", `key c-${project}`);
l2.append(key, document.createTextNode(`${project} ${r.type}`));
tip.replaceChildren(v, l1, l2);
tip.classList.add("on");
const w = tip.offsetWidth, h = tip.offsetHeight;
const left = Math.min(window.innerWidth - w - 8, Math.max(8, x + 14)) + window.scrollX;
const top = (y + h + 20 > window.innerHeight ? y - h - 12 : y + 16) + window.scrollY;
tip.style.left = `${left}px`;
tip.style.top = `${top}px`;
}
function hideTip() { tip.classList.remove("on"); }
render({ repos: SNAPSHOT.repos, spaces: SNAPSHOT.spaces, live: false });
document.getElementById("status-text").textContent = "Loading live numbers";
load();
})();
</script>
</body>
</html>
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